been advised by a Nutritionist that they need to restrict their daily caloric intake to an average of 1800.0 Calories per day, for a 10-day period. Patients are asked to record their daily caloric intake values. To determine whether the patients met their goals, you will use MS Excel to calculate the Mean and Standard Deviation, and then analyze the results. Table 03. Day vs Caloric Intake Data of Patients 1 and 2 for Exercise 03 Caloric Intake Day 1 2 3 4 5 6 7 8 9 10 Mean Std Dev Patient 1 1800.0 1800.0 1800.0 1800.0 1800.0 1800.0 1800.0 1800.0 1800.0 1800.0 Patient 2 1800.0 2400.0 1800.0 1500.0 1300.0 1500.0 2300.0 2600.0 1000.0 1800.0 a) Copy the data shown in the table above into Excel. b) Click here for a video tutorial on how to use Excel functions to calculate the Mean and Standard Deviation for both sets of data. c) Once you have completed your calculations, save your Excel file and complete the related questions in the lab report.
been advised by a Nutritionist that they need to restrict their daily caloric intake to an average of 1800.0 Calories per day, for a 10-day period. Patients are asked to record their daily caloric intake values. To determine whether the patients met their goals, you will use MS Excel to calculate the Mean and Standard Deviation, and then analyze the results. Table 03. Day vs Caloric Intake Data of Patients 1 and 2 for Exercise 03 Caloric Intake Day 1 2 3 4 5 6 7 8 9 10 Mean Std Dev Patient 1 1800.0 1800.0 1800.0 1800.0 1800.0 1800.0 1800.0 1800.0 1800.0 1800.0 Patient 2 1800.0 2400.0 1800.0 1500.0 1300.0 1500.0 2300.0 2600.0 1000.0 1800.0 a) Copy the data shown in the table above into Excel. b) Click here for a video tutorial on how to use Excel functions to calculate the Mean and Standard Deviation for both sets of data. c) Once you have completed your calculations, save your Excel file and complete the related questions in the lab report.
been advised by a Nutritionist that they need to restrict their daily caloric intake to an average of 1800.0 Calories per day, for a 10-day period. Patients are asked to record their daily caloric intake values. To determine whether the patients met their goals, you will use MS Excel to calculate the Mean and Standard Deviation, and then analyze the results. Table 03. Day vs Caloric Intake Data of Patients 1 and 2 for Exercise 03 Caloric Intake Day 1 2 3 4 5 6 7 8 9 10 Mean Std Dev Patient 1 1800.0 1800.0 1800.0 1800.0 1800.0 1800.0 1800.0 1800.0 1800.0 1800.0 Patient 2 1800.0 2400.0 1800.0 1500.0 1300.0 1500.0 2300.0 2600.0 1000.0 1800.0 a) Copy the data shown in the table above into Excel. b) Click here for a video tutorial on how to use Excel functions to calculate the Mean and Standard Deviation for both sets of data. c) Once you have completed your calculations, save your Excel file and complete the related questions in the lab report.
Copy and paste an image of your table with data for Patients 1 and 2 in the space provided below. This image should include the calculated values for Mean and Std Dev.
Compare the values for Mean and Std Dev for the two patients. Did both patients meet the requirements for an average of 1800.0 Calories per day? Explain in your own words your interpretation of the Std Dev values for the two sets of patient data.
Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...
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